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ObjectiveSpinal cord stimulation (SCS) is an effective treatment in failed back surgery syndrome (FBSS). We studied the effect of preimplantation opioid use on SCS outcome and the effect of SCS on opioid use during a two-year follow-up period.Materials and methodsThe study cohort included 211 consecutive FBSS patients who underwent an SCS trial from January 1997 to March 2014. Participants were divided into groups, which were as follows: 1) SCS trial only (n = 47), 2) successful SCS (implanted and in use throughout the two-year follow-up period, n = 131), and 3) unsuccessful SCS (implanted but later explanted or revised due to inadequate pain relief, n = 29). Patients who underwent explantation for other reasons (n = 4) were excluded. Opioid purchase data from January 1995 to March 2016 were retrieved from national registries.ResultsHigher preimplantation opioid doses associated with unsuccessful SCS (ROC: AUC = 0.66, p = 0.009), with 35 morphine milligram equivalents (MME)/day as the optimal cutoff value. All opioids were discontinued in 23% of patients with successful SCS, but in none of the patients with unsuccessful SCS (p = 0.004). Strong opioids were discontinued in 39% of patients with successful SCS, but in none of the patients with unsuccessful SCS (p = 0.04). Mean opioid dose escalated from 18 ± 4 MME/day to 36 ± 6 MME/day with successful SCS and from 22 ± 8 MME/day to 82 ± 21 MME/day with unsuccessful SCS (p < 0.001).ConclusionsHigher preimplantation opioid doses were associated with SCS failure, suggesting the need for opioid tapering before implantation. With continuous SCS therapy and no explantation or revision due to inadequate pain relief, 39% of FBSS patients discontinued strong opioids, and 23% discontinued all opioids. This indicates that SCS should be considered before detrimental dose escalation.  相似文献   
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Klinefelter syndrome (KS) (47,XXY) is the most common aneuploidy (1/650) of sexual chromosome among male (0,1 à 0,2 % of male population) (Hong and Reiss, 2014). Because its large physical phenotypic variability (high tall, sparse hairiness, gynecomastia), this syndrome is largely underdiagnosed (less than 25 % of affected persons) (Samango-Sprouse et al., 2018). Nevertheless, cognitive variability is smaller. Normal to low average total IQ, low verbal IQ, social problems and high levels of psychiatric comorbidities including early aggressiveness are commonly described (Hong and Reiss, 2014). In Denmark, higher risks of committing sexual crime and arson (compared to criminal controls) was recently reported (Stochholm et al., 2012). Quite a few clinically relevant cases reports scattered in the literature, suggests the presence of a pattern of a specific subtype of KS inpatients among forensic population (Bénézech, 1975). However, very few studies provide quantitative or qualitative pertaining to robust results. KS well-documented neurobiological (van Rijn, 2018) (e.g. low levels of testosterone), neuropsychological (Bénézech, 1975; Hong and Reiss, 2014; Samango-Sprouse et al., 2018; Savic, 2012; Seara-Cardoso et al., 2016; Senon, 2005; Stochholm et al., 2012; van Rijn, 2018; van Rijn et al., 2008; van Rijn et al., 2018; van Rijn et al., 2014; van Rijn et al., 2012) [29] (e.g. alterations of both complex cerebral — attention, empathy — and behavioral regulation functions - inhibition, mental flexibility, emotional response modulation, control of own actions) and neuroanatomical (Hong and Reiss, 2014; Itti et al., 2003; Savic, 2012; van Rijn et al., 2008; van Rijn et al., 2012) [29] (e.g. limbic system and temporal lobe abnormal volume, hemispheric specialization shortcoming) features may be helpful to understand comorbid symptoms psychopathology. Numbers of recent studies conduct on KS pediatric or adult population provide interesting results on conduct, anxiety, psychotic and autism spectrum disorders. In addition, some authors use genetic and epigenetic specific features of sex chromosome aneuploidies (e.g. X genes neurodevelopmental role; imprinting) in order to clarify genotype-phenotype links of comorbid symptoms (Bruining et al., 2011; Zitzmann et al., 2004;). With Belgian colleagues from the Social Defense Research Center (CRDS, Tournai, Belgium), we are currently recruiting KS inpatients from security hospitals or psychiatric units in Belgium and France. We aim to assess psychopathic traits with the Psychopathy Checklist Revised (PCL-R, Hare) (Hare, 2003). Our first results concerning 3 KS males outline that PCL-R is useful for the characterization of clinical phenotype among KS forensic sample. While three of them present psychopathic traits, two of them present categorical double diagnose “psychopathy-KS” (total PCL-R score > = 30/40 (Delannoy et al., 2017)). Moreover, dimensional analysis support our hypothesis of a higher prevalence of “explosive profile” in comparison to other psychopathic profiles in our sample (Delannoy et al., 2017). The present article summarizes historic background (e.g. “psychopathy” disappearance of mental disorder reference classification schemes, “crime chromosome” (Bénézech, 1975)) and current context argues (e.g. French psychiatrists court experts widely refer to psychopathy concept despite a lack of consensual definition (Senon, 2005), weak knowledge and training of PCL-R and its related biopsychological recent findings (Blair, 2013; de Oliveira-Souza et al., 2008; Dotterer et al., 2017; Glenn and Raine, 2014; Hosking et al., 2017; Korponay et al., 2017; Pham, 1995; Pham, 2005; Raine, 2008; Raine et al., 2003); stigma and discrimination apprehensions of KS and psychopath) that motivate our research project. Finally, we discuss the advantages of our research protocol on KS participants assessed with PCL-R, such as tackling stigma and discrimination, better understanding psychopathology, and clarifying murky interactions of biological, psychological and social factors entangled in the development of these two fascinating troubles.  相似文献   
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Background: Accurate measurement of the QT interval is important for diagnosing long QT syndrome (LQTS), and in research on determinants of ventricular repolarization time. We tested automatic analysis of QT intervals from multiple ECG leads on chest. Methods: Eleven healthy volunteers and 10 genotyped LQTS patients were tested at rest and during exercise with a bicycle ergometer twice 1–31 months apart. Electrocardiograms were recorded with the body surface potential mapping system, and 12 precordial channels were selected for analysis. Averaged QT peak and QT end intervals were determined with an automated algorithm, and the difference QT end minus QT peak (Tp‐e) was calculated. Repeatability was assessed by coefficient of variation (CV) between measurements. Results: Within one test at rest the QT end intervals were highly repeatable with CV 0.6%. In repeated tests CV was 4.4% for QT end interval and 3.5% when the QT interval was corrected for heart rate. In exercise test at specified heart rates, mean CV was 3.0% for QT end and 2.9% for QT peak interval. The CV of Tp‐e interval was 10.2% at rest, and 9.3% in exercise test. Reproducibility was comparable between healthy subjects and LQTS patients. Conclusions: The BSPM system with automated analysis produced accurate and highly repeatable QT interval measurements. Reproducibility was adequate also over prolonged time periods both at rest and in exercise stress test. The method can be applied in studying duration of ventricular repolarization time in different physiologic and pharmacologic interventions.  相似文献   
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